{"title":"面向连续介质物理的高效自适应模拟。","authors":"Nicolò Scapin","doi":"10.1038/s43588-025-00791-z","DOIUrl":null,"url":null,"abstract":"The continuous drive for efficiency in high-performance computing has led to the development of new frameworks aimed at optimizing large-scale simulations. One such advancement is dynamic block activation, a method designed to significantly accelerate continuum models while making full use of modern computing architectures that combine central processing units and graphics processing units.","PeriodicalId":74246,"journal":{"name":"Nature computational science","volume":"5 4","pages":"273-274"},"PeriodicalIF":18.3000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards efficient and adaptive simulations for continuum physics\",\"authors\":\"Nicolò Scapin\",\"doi\":\"10.1038/s43588-025-00791-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The continuous drive for efficiency in high-performance computing has led to the development of new frameworks aimed at optimizing large-scale simulations. One such advancement is dynamic block activation, a method designed to significantly accelerate continuum models while making full use of modern computing architectures that combine central processing units and graphics processing units.\",\"PeriodicalId\":74246,\"journal\":{\"name\":\"Nature computational science\",\"volume\":\"5 4\",\"pages\":\"273-274\"},\"PeriodicalIF\":18.3000,\"publicationDate\":\"2025-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature computational science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43588-025-00791-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature computational science","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43588-025-00791-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Towards efficient and adaptive simulations for continuum physics
The continuous drive for efficiency in high-performance computing has led to the development of new frameworks aimed at optimizing large-scale simulations. One such advancement is dynamic block activation, a method designed to significantly accelerate continuum models while making full use of modern computing architectures that combine central processing units and graphics processing units.
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